Gene expression profiling identifies molecular subtypes of inflammatory breast cancer
Breast cancer is a heterogeneous disease. Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with su...
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Veröffentlicht in: | Cancer research (Chicago, Ill.) Ill.), 2005-03, Vol.65 (6), p.2170-2178 |
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creator | BERTUCCI, Francois FINETTI, Pascal VIENS, Patrice BIRNBAUM, Daniel ROUGEMONT, Jacques CHARAFE-JAUFFRET, Emmanuelle CERVERA, Nathalie TARPIN, Carole NGUYEN, Catherine XERRI, Luc HOULGAWE, Rémi JACQUEMIER, Jocelyne |
description | Breast cancer is a heterogeneous disease. Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with survival. Inflammatory breast cancer (IBC) is a rare, particular, and aggressive form of disease. Here we have investigated whether the five molecular subtypes described for NIBC (luminal A and B, basal, ERBB2 overexpressing, and normal breast-like) were also present in IBC. We monitored the RNA expression of approximately 8,000 genes in 83 breast tissue samples including 37 IBC, 44 NIBC, and 2 normal breast samples. Hierarchical clustering identified the five subtypes of breast cancer in both NIBC and IBC samples. These subtypes were highly similar to those defined in previous studies and associated with similar histoclinical features. The robustness of this classification was confirmed by the use of both alternative gene set and analysis method, and the results were corroborated at the protein level. Furthermore, we show that the differences in gene expression between NIBC and IBC and between IBC with and without pathologic complete response that we have recently reported persist in each subtype. Our results show that the expression signatures defining molecular subtypes of NIBC are also present in IBC. Obtained using different patient series and different microarray platforms, they reinforce confidence in the expression-based molecular taxonomy but also give evidence for its universality in breast cancer, independently of a specific clinical form. |
doi_str_mv | 10.1158/0008-5472.can-04-4115 |
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Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with survival. Inflammatory breast cancer (IBC) is a rare, particular, and aggressive form of disease. Here we have investigated whether the five molecular subtypes described for NIBC (luminal A and B, basal, ERBB2 overexpressing, and normal breast-like) were also present in IBC. We monitored the RNA expression of approximately 8,000 genes in 83 breast tissue samples including 37 IBC, 44 NIBC, and 2 normal breast samples. Hierarchical clustering identified the five subtypes of breast cancer in both NIBC and IBC samples. These subtypes were highly similar to those defined in previous studies and associated with similar histoclinical features. The robustness of this classification was confirmed by the use of both alternative gene set and analysis method, and the results were corroborated at the protein level. Furthermore, we show that the differences in gene expression between NIBC and IBC and between IBC with and without pathologic complete response that we have recently reported persist in each subtype. Our results show that the expression signatures defining molecular subtypes of NIBC are also present in IBC. Obtained using different patient series and different microarray platforms, they reinforce confidence in the expression-based molecular taxonomy but also give evidence for its universality in breast cancer, independently of a specific clinical form.</description><identifier>ISSN: 0008-5472</identifier><identifier>EISSN: 1538-7445</identifier><identifier>DOI: 10.1158/0008-5472.can-04-4115</identifier><identifier>PMID: 15781628</identifier><identifier>CODEN: CNREA8</identifier><language>eng</language><publisher>Philadelphia, PA: American Association for Cancer Research</publisher><subject>Adenocarcinoma - classification ; Adenocarcinoma - genetics ; Adenocarcinoma - metabolism ; Adenocarcinoma - pathology ; Adult ; Aged ; Aged, 80 and over ; Antineoplastic agents ; Biological and medical sciences ; Breast Neoplasms - classification ; Breast Neoplasms - genetics ; Breast Neoplasms - metabolism ; Breast Neoplasms - pathology ; Cancer ; Female ; Gene Expression Profiling ; Humans ; Life Sciences ; Medical sciences ; Middle Aged ; Pharmacology. Drug treatments ; Polymerase Chain Reaction</subject><ispartof>Cancer research (Chicago, Ill.), 2005-03, Vol.65 (6), p.2170-2178</ispartof><rights>2005 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c600t-c996c2dc1d1a7819a47eab2d0f5cf55e153fe36290627d6a864daa3dbac30d1b3</citedby><cites>FETCH-LOGICAL-c600t-c996c2dc1d1a7819a47eab2d0f5cf55e153fe36290627d6a864daa3dbac30d1b3</cites><orcidid>0000-0002-2674-3123 ; 0000-0001-7920-9883 ; 0000-0002-0157-0959 ; 0000-0002-0286-1299</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,3355,27923,27924</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=16605215$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15781628$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://amu.hal.science/hal-03623838$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>BERTUCCI, Francois</creatorcontrib><creatorcontrib>FINETTI, Pascal</creatorcontrib><creatorcontrib>VIENS, Patrice</creatorcontrib><creatorcontrib>BIRNBAUM, Daniel</creatorcontrib><creatorcontrib>ROUGEMONT, Jacques</creatorcontrib><creatorcontrib>CHARAFE-JAUFFRET, Emmanuelle</creatorcontrib><creatorcontrib>CERVERA, Nathalie</creatorcontrib><creatorcontrib>TARPIN, Carole</creatorcontrib><creatorcontrib>NGUYEN, Catherine</creatorcontrib><creatorcontrib>XERRI, Luc</creatorcontrib><creatorcontrib>HOULGAWE, Rémi</creatorcontrib><creatorcontrib>JACQUEMIER, Jocelyne</creatorcontrib><title>Gene expression profiling identifies molecular subtypes of inflammatory breast cancer</title><title>Cancer research (Chicago, Ill.)</title><addtitle>Cancer Res</addtitle><description>Breast cancer is a heterogeneous disease. Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with survival. Inflammatory breast cancer (IBC) is a rare, particular, and aggressive form of disease. Here we have investigated whether the five molecular subtypes described for NIBC (luminal A and B, basal, ERBB2 overexpressing, and normal breast-like) were also present in IBC. We monitored the RNA expression of approximately 8,000 genes in 83 breast tissue samples including 37 IBC, 44 NIBC, and 2 normal breast samples. Hierarchical clustering identified the five subtypes of breast cancer in both NIBC and IBC samples. These subtypes were highly similar to those defined in previous studies and associated with similar histoclinical features. The robustness of this classification was confirmed by the use of both alternative gene set and analysis method, and the results were corroborated at the protein level. Furthermore, we show that the differences in gene expression between NIBC and IBC and between IBC with and without pathologic complete response that we have recently reported persist in each subtype. Our results show that the expression signatures defining molecular subtypes of NIBC are also present in IBC. Obtained using different patient series and different microarray platforms, they reinforce confidence in the expression-based molecular taxonomy but also give evidence for its universality in breast cancer, independently of a specific clinical form.</description><subject>Adenocarcinoma - classification</subject><subject>Adenocarcinoma - genetics</subject><subject>Adenocarcinoma - metabolism</subject><subject>Adenocarcinoma - pathology</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antineoplastic agents</subject><subject>Biological and medical sciences</subject><subject>Breast Neoplasms - classification</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer</subject><subject>Female</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Pharmacology. Drug treatments</subject><subject>Polymerase Chain Reaction</subject><issn>0008-5472</issn><issn>1538-7445</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv3CAQhVHUKNkm-QmtfGmlHLwBG7B9XK2abKVVcknOaAxDS4XtLdhV9t8Ha63k2BPi6XvDGx4hXxhdMybqO0ppnQteFWsNfU55zpN8RlZMlHVecS4-kdU7c0k-x_gnXQWj4oJcMlHVTBb1irw8YI8Zvh4CxuiGPjuEwTrv-l-ZM9iPzjqMWTd41JOHkMWpHY-HJA02c7310HUwDuGYtQEhjlkKozFck3MLPuLNcl6Rl_sfz9tdvn96-Lnd7HMtKR1z3TRSF0YzwyAFaoBXCG1hqBXaCoFpF4ulLBoqi8pIqCU3AKVpQZfUsLa8Irenub_Bq0NwHYSjGsCp3WavZo0md1mX9T-W2O8nNm34d8I4qs5Fjd5Dj8MUlaxEWTDZ_BdkKSqXkidQnEAdhhgD2vcIjKq5JDUXoOYC1HbzqChXc0nJ93V5YGo7NB-upZUEfFsAiBq8DelTXfzgpKSiSIPeAMcomzQ</recordid><startdate>20050315</startdate><enddate>20050315</enddate><creator>BERTUCCI, Francois</creator><creator>FINETTI, Pascal</creator><creator>VIENS, Patrice</creator><creator>BIRNBAUM, Daniel</creator><creator>ROUGEMONT, Jacques</creator><creator>CHARAFE-JAUFFRET, Emmanuelle</creator><creator>CERVERA, Nathalie</creator><creator>TARPIN, Carole</creator><creator>NGUYEN, Catherine</creator><creator>XERRI, Luc</creator><creator>HOULGAWE, Rémi</creator><creator>JACQUEMIER, Jocelyne</creator><general>American Association for Cancer Research</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TM</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-2674-3123</orcidid><orcidid>https://orcid.org/0000-0001-7920-9883</orcidid><orcidid>https://orcid.org/0000-0002-0157-0959</orcidid><orcidid>https://orcid.org/0000-0002-0286-1299</orcidid></search><sort><creationdate>20050315</creationdate><title>Gene expression profiling identifies molecular subtypes of inflammatory breast cancer</title><author>BERTUCCI, Francois ; FINETTI, Pascal ; VIENS, Patrice ; BIRNBAUM, Daniel ; ROUGEMONT, Jacques ; CHARAFE-JAUFFRET, Emmanuelle ; CERVERA, Nathalie ; TARPIN, Carole ; NGUYEN, Catherine ; XERRI, Luc ; HOULGAWE, Rémi ; JACQUEMIER, Jocelyne</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c600t-c996c2dc1d1a7819a47eab2d0f5cf55e153fe36290627d6a864daa3dbac30d1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adenocarcinoma - classification</topic><topic>Adenocarcinoma - genetics</topic><topic>Adenocarcinoma - metabolism</topic><topic>Adenocarcinoma - pathology</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Antineoplastic agents</topic><topic>Biological and medical sciences</topic><topic>Breast Neoplasms - classification</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer</topic><topic>Female</topic><topic>Gene Expression Profiling</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Pharmacology. Drug treatments</topic><topic>Polymerase Chain Reaction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>BERTUCCI, Francois</creatorcontrib><creatorcontrib>FINETTI, Pascal</creatorcontrib><creatorcontrib>VIENS, Patrice</creatorcontrib><creatorcontrib>BIRNBAUM, Daniel</creatorcontrib><creatorcontrib>ROUGEMONT, Jacques</creatorcontrib><creatorcontrib>CHARAFE-JAUFFRET, Emmanuelle</creatorcontrib><creatorcontrib>CERVERA, Nathalie</creatorcontrib><creatorcontrib>TARPIN, Carole</creatorcontrib><creatorcontrib>NGUYEN, Catherine</creatorcontrib><creatorcontrib>XERRI, Luc</creatorcontrib><creatorcontrib>HOULGAWE, Rémi</creatorcontrib><creatorcontrib>JACQUEMIER, Jocelyne</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nucleic Acids Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Cancer research (Chicago, Ill.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>BERTUCCI, Francois</au><au>FINETTI, Pascal</au><au>VIENS, Patrice</au><au>BIRNBAUM, Daniel</au><au>ROUGEMONT, Jacques</au><au>CHARAFE-JAUFFRET, Emmanuelle</au><au>CERVERA, Nathalie</au><au>TARPIN, Carole</au><au>NGUYEN, Catherine</au><au>XERRI, Luc</au><au>HOULGAWE, Rémi</au><au>JACQUEMIER, Jocelyne</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene expression profiling identifies molecular subtypes of inflammatory breast cancer</atitle><jtitle>Cancer research (Chicago, Ill.)</jtitle><addtitle>Cancer Res</addtitle><date>2005-03-15</date><risdate>2005</risdate><volume>65</volume><issue>6</issue><spage>2170</spage><epage>2178</epage><pages>2170-2178</pages><issn>0008-5472</issn><eissn>1538-7445</eissn><coden>CNREA8</coden><abstract>Breast cancer is a heterogeneous disease. Comprehensive gene expression profiles obtained using DNA microarrays have revealed previously indistinguishable subtypes of noninflammatory breast cancer (NIBC) related to different features of mammary epithelial biology and significantly associated with survival. Inflammatory breast cancer (IBC) is a rare, particular, and aggressive form of disease. Here we have investigated whether the five molecular subtypes described for NIBC (luminal A and B, basal, ERBB2 overexpressing, and normal breast-like) were also present in IBC. We monitored the RNA expression of approximately 8,000 genes in 83 breast tissue samples including 37 IBC, 44 NIBC, and 2 normal breast samples. Hierarchical clustering identified the five subtypes of breast cancer in both NIBC and IBC samples. These subtypes were highly similar to those defined in previous studies and associated with similar histoclinical features. The robustness of this classification was confirmed by the use of both alternative gene set and analysis method, and the results were corroborated at the protein level. Furthermore, we show that the differences in gene expression between NIBC and IBC and between IBC with and without pathologic complete response that we have recently reported persist in each subtype. Our results show that the expression signatures defining molecular subtypes of NIBC are also present in IBC. Obtained using different patient series and different microarray platforms, they reinforce confidence in the expression-based molecular taxonomy but also give evidence for its universality in breast cancer, independently of a specific clinical form.</abstract><cop>Philadelphia, PA</cop><pub>American Association for Cancer Research</pub><pmid>15781628</pmid><doi>10.1158/0008-5472.can-04-4115</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-2674-3123</orcidid><orcidid>https://orcid.org/0000-0001-7920-9883</orcidid><orcidid>https://orcid.org/0000-0002-0157-0959</orcidid><orcidid>https://orcid.org/0000-0002-0286-1299</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma - classification Adenocarcinoma - genetics Adenocarcinoma - metabolism Adenocarcinoma - pathology Adult Aged Aged, 80 and over Antineoplastic agents Biological and medical sciences Breast Neoplasms - classification Breast Neoplasms - genetics Breast Neoplasms - metabolism Breast Neoplasms - pathology Cancer Female Gene Expression Profiling Humans Life Sciences Medical sciences Middle Aged Pharmacology. Drug treatments Polymerase Chain Reaction |
title | Gene expression profiling identifies molecular subtypes of inflammatory breast cancer |
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